Despite its impressive capabilities in reasoning, planning, and content generation, GenAI still struggles with the kind of mathematics that grade school students are expected to learn and master. What influence do transformers, the core architecture behind Large Language Models (LLMs), have in this problem, and can it be solved? In the new paper “Why Can’t […]
Have you ever received a response from ChatGPT that seems to get you almost too well? A recent preprint review of research, “AI-Generated Empathy: Opportunities, limits, and future directions,” written by a team including Amit Goldenberg, faculty principal investigator in the Digital Emotions Lab at the Digital Data Design Institute at Harvard (D^3), suggests that […]
As AI technology advances, policymakers will face the crucial task of how to steer its development responsibly. In the new paper published in Science, “Advancing science- and evidence-based AI policy,” a multidisciplinary group of experts, including Himabindu Lakkaraju, Assistant Professor of Business Administration at Harvard Business School and Principal Investigator in the Trustworthy AI Lab […]
This series introduces D^3 Associates Program projects which aim to answer important questions at the intersection of artificial intelligence and digital technologies in business and society. This article shares insights from Boris Groysberg, Richard P. Chapman Professor of Business Administration who is pursuing research on the topics of artificial intelligence and organizations. 1. What drew you […]
The promise of Generative AI (GenAI) often sounds like this: give any employee access to AI tools, and they’ll suddenly be able to perform tasks outside their domain of expertise with remarkable proficiency and speed. As discussed in the new working paper “The GenAI Wall Effect: Examining the Limits to Horizontal Expertise Transfer Between Occupational […]
As businesses continue to navigate the complexities of product development and innovation, generative AI has the potential to be a powerful new tool for market research. In their recent article for the Harvard Business Review, “Using Gen AI for Early-Stage Market Research,” Ayelet Israeli, co-founder of the Customer Intelligence Lab at the Digital Data Design […]
This series introduces D^3 Associates Program projects which aim to answer important questions at the intersection of artificial intelligence and digital technologies in business and society. This article shares insights from Ashley V. Whillans, Volpert Family Associate Professor of Business Administration at Harvard Business School who is pursuing research on the topics of artificial intelligence […]
If AI can accept light supervision and then be off and running, what does it mean for how leaders and organizations design work, govern risk, and account for value? Drawing on perspectives from Jen Stave Jen Stave , Executive Director of the Digital Data Design (D^3) Institute at Harvard, Columbia Business School’s Stephan Meier, and […]
One of AI agents’ most powerful tools is memory: the ability to learn from the past, adapt to new situations, and improve over time. But as organizations and professionals increasingly deploy AI agents for complex and long-term tasks, an important question emerges: how can we ensure that these systems learn from experience without getting trapped […]
In the ever-evolving AI landscape, are you truly ready to integrate new technologies effectively, taking advantage of the radical opportunities they present for productivity increases and better operating models? Karim R. Lakhani, Dorothy and Michael Hintze Professor of Business Administration at Harvard Business School and faculty chair and co-founder of the Digital Data Design (D^3) […]
